At a Glance
- Tasks: Join us to manage data and drive AI initiatives that unlock value.
- Company: Capital One, a leading tech-driven financial company.
- Benefits: Hybrid work model, on-site gym, and professional development opportunities.
- Other info: Dynamic workplace with a focus on collaboration and growth.
- Why this job: Be at the forefront of data management and AI innovation.
- Qualifications: Strong problem-solving skills and a passion for data and AI.
The predicted salary is between 50000 - 60000 £ per year.
Data is at the heart of everything we do. We operate a multitude of systems that store, process and use data to support our operations, analytics and reporting, all driving us towards our business goals of helping our customers and associates succeed. Ensuring we have a thorough understanding and robust management of the data the UK business creates and uses is crucial. This is essential to ensuring our business is well managed, giving users ultimate confidence that the data they are using is available and of the highest quality.
We are seeking an energetic and forward-thinking individual to join us to help build, deliver, improve and lead on data management across the business. In this role, you will work on a variety of strategic and technical activities to solve complex problems, drive technical convergence, and safely operationalise Artificial Intelligence (AI) frameworks to unlock the power of data through excellent data management.
What You'll Do
- AI in Data Management & Strategy: Help create an AI-literate Data Management team, understanding AI tooling risks and benefits, whilst collaborating with broader analytics teams to champion key data considerations.
- Frameworks & Governance: Identify key data management principles to enable safe, scaled AI, and evolve our frameworks to meet changing AI and regulatory needs.
- Operationalise & Unlock Value: Drive and implement AI within the Data Management Team (DMT), leading the thinking on near-term value unlocks that enable end-users to self-serve through AI.
- Strategic Alignment: Understand and plan for advances in Enterprise AI Data Management Strategy, advising on how the UK business should be structured to align.
- Technological Convergence & Core Infrastructure
- Migration Leadership: Serve as a technical lead for convergence migration, covering data storage, definitions, lineage, quality, modelling, access and consumption.
- End-to-End Coordination: Ensure critical migration factors are met, including setting up correct access profiles, migrating metadata/data quality rules, and setting up UK analytical teams for success.
- Enterprise Integration & Roadmapping: Partner with Enterprise teams to plan migration sequencing and dependencies, whilst driving our broader data strategy by identifying industry maturity gaps.
- Stakeholder Engagement & Risk: Collaborate with stakeholders to drive policy-compliant practices across the data lifecycle, executing data management assessments through 2nd and 3rd-line reviews.
- Talent Development: Coach, nurture and develop associates across the business to ensure a thorough understanding of their data management responsibilities and the value behind them.
The Skills and Experience You Need
- Core Skills & Capabilities
- Critical Problem Solving: Ability to use critical thinking to resolve complex problems, acting as an owner to identify, document and manage data issues.
- Influence & Communication: Strong judgment coupled with excellent communication and networking skills to influence stakeholders and drive meaningful business change.
- User-Centric Solutioning: Capability to provide actionable advice and create solutions or communications that help end-users self-serve, access and navigate data.
- Innovation & Advocacy: A track record of bringing new ideas and establishing new processes that support data strategy, whilst acting as an ambassador for the team.
- Delivery & Leadership: Proven ability to manage structured business processes, nurture stakeholder relationships and successfully deliver large, value-add activities.
- Technical Knowledge & Experience
- Data & Risk Governance: A strong understanding of, or keen interest in, Data Management, Data Risk Management fundamentals and policy compliance frameworks.
- AI & Innovation Guardrails: Understanding of AI technologies, skills and use cases, with the ability to apply AI to drive operational efficiencies using proper guardrails.
- Cloud Infrastructure: Basic operational knowledge of Cloud data ecosystems, AWS infrastructure or modern analytical data warehouses.
- Lifecycle Management: Experience with practices supporting the data management lifecycle, including registration, usage, quality, retention and external data sharing.
- Assurance & Control: Experience executing data management assessments through control performance or engaging with 2nd and 3rd-line business reviews.
Where and how you'll work
This is a permanent position based in our Nottingham office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.
Capital One is committed to diversity in the workplace.
Data and AI Developer in Lincolnshire employer: Capital One UK
At Capital One, we pride ourselves on being a top employer, consistently recognised for our commitment to employee growth and well-being. Our Nottingham office offers a vibrant work environment with modern amenities, a hybrid working model, and extensive professional development opportunities, including funding for external qualifications. We foster a culture of belonging, where diverse perspectives are valued, ensuring that every associate can thrive and contribute meaningfully to our mission of transforming banking for good.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Developer in Lincolnshire
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capital One UK!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data and AI Developer at Capital One UK.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capital One UK.
✨Apply Directly through Our Website
When you find a suitable opening like Data and AI Developer at Capital One UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data and AI Developer in Lincolnshire
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capital One UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capital One UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capital One UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capital One UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
